• DocumentCode
    691162
  • Title

    Proportional Solenoid Valve Flow Hysteresis Modeling Based on PSO Algorithm

  • Author

    Cai Sheng-Nian ; Li Hai-Yang ; Xu Cheng-Tao ; Pang Bao-Lin

  • Author_Institution
    Shenyang Inst. of Chem. Technol., Shenyang, China
  • fYear
    2013
  • fDate
    21-23 Sept. 2013
  • Firstpage
    1064
  • Lastpage
    1067
  • Abstract
    In order to solve the negative impact on the stability and control quality of the system which is caused by proportional solenoid valve flow hysteresis nonlinear, a nonlinear hysteresis mathematical model of the proportional solenoid valve was established for the needs of the nonlinear control in this paper. Aiming at the problems of the mechanism modeling and Preisach mathematics model modeling, a method of proportional solenoid valve flow hysteresis model based on experimental data has been proposed. Particle swarm optimization was introduced to optimize model parameters. In order to verify the effectiveness of this method, mat lab programming methods was introduced. Simulation results show that the particle swarm optimization algorithm to optimize the flow hysteresis model not only has a goodness of fit but also simple and practical. The model can be used for the feed forward control of the proportional solenoid valve to decrease or eliminate proportional solenoid valve flow hysteresis.
  • Keywords
    nonlinear control systems; particle swarm optimisation; solenoids; valves; Matlab programming methods; PSO algorithm; Preisach mathematics model modeling; control quality; mechanism modeling; model parameters; nonlinear control; nonlinear hysteresis mathematical model; particle swarm optimization; proportional solenoid valve flow hysteresis modeling; stability; Computers; Instruments; Flow hysteresis; Particle swarm optimization; curve fitting; parameter estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2013 Third International Conference on
  • Conference_Location
    Shenyang
  • Type

    conf

  • DOI
    10.1109/IMCCC.2013.236
  • Filename
    6840626